Green Street Unveils MCP Server, Connecting Real Estate Intelligence with AI Platforms

Introduction

In a significant development for the commercial real estate (CRE) sector, Green Street has officially launched its MCP (Model Context Protocol) Server, designed to seamlessly integrate the company’s proprietary real assets intelligence directly into existing AI platforms. This new offering promises to empower real assets professionals by providing instant access to vital market data and insights without the need for switching platforms or complicated searches.

Unveiling the MCP Server

On August 11, 2026, Green Street, a leader in real assets research and analytics, announced the general availability of its MCP Server. This innovative tool connects users to a wealth of private and public market intelligence via popular AI platforms, including Claude, ChatGPT, and Gemini, with additional integrations set to roll out in the future.

The MCP Server forms an essential part of GreenStreetAI's capabilities, which include AI-generated executive summaries for research reports and the upcoming AI Assistant—a natural language question and answer tool drawing from over 14,000 reports and decades worth of news archives. Together, these tools significantly enhance the accessibility of valuable research and data, adapting to the evolving ways professionals utilize insights in their work environment.

Revolutionizing Data Access

The cornerstone of the MCP Server is its reliance on the Model Context Protocol, an open standard that connects AI assistants to external data sources effortlessly. With this, users gain natural-language access to proprietary datasets that have been trusted by institutional CRE organizations for more than 40 years. They can obtain comprehensive data without having to move out of the AI platform they already use, significantly cutting down the time and effort traditionally required in data retrieval and analysis.

At the time of launch, the MCP Server will facilitate connections to various Green Street resources, including Research, Company Data, Company Sector Data, Market Data, and Automated Valuation Model (AVM) tools—spanning markets across the U.S., Canada, Europe, and select areas in Australia. With Green Street’s predefined prompts, such as ‘Get Research Summary’ and ‘Get Market Overview’, users can generate ready-to-use research summaries and market dashboards instantly, enhancing efficiency in decision-making processes.

A Shift from Insight to Action

Green Street’s MCP Server is designed to streamline workflows that typically require days or even weeks of analysis into rapid, single-conversation interactions. Users can pose multi-faceted queries—like comparing REIT valuations alongside transaction activities or ranking markets based on risk-adjusted returns—and receive comprehensive, data-backed responses rooted in Green Street’s trusted resources rather than generic search engine results.

According to Travis Valentine, Chief Technology Officer at Green Street, this solution addresses the need for clients to have immediate access to intelligence without the hassle of adopting new platforms or managing additional logins.

Client-Centric Focus

CEO Jeff Stuek emphasized the importance of adapting to changing client behaviors and preferences. He stated that the MCP Server aligns with the organization’s long-standing reputation as a reliable source of unique insights within the real assets industry. By merging the capabilities of AI with established Green Street intelligence, this server greatly enhances the decision-making powers of its users.

Conclusion

Phase one of the MCP Server may just be the beginning for Green Street. The firm invites interested parties to experience this cutting-edge solution firsthand by booking a demo through their website. As artificial intelligence continues to reshape how data is consumed and acted upon in commercial real estate, Green Street stands at the forefront, equipping professionals with the tools they need to navigate their markets effectively and efficiently. Remember, while AI-generated outputs serve informational purposes, they are not a substitute for personalized investment advice, as these tools are not fiduciaries.